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Robinson Al

@robinsonal

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Data scientist at FMF and CERN who built predictive semiconductor models and automated complex data pipelines.

Switzerland

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At Freiburg Materials Research Center (FMF), I developed Python and Pandas pipelines that reduced processing time for spectroscopic and electrical datasets. I also used numerical simulations and statistical analysis to model optical properties of perovskite semiconductors.

At the European Organization for Nuclear Research (CERN), I applied machine learning and multivariate statistics to semiconductor research data, improving predictive model accuracy. I also created SQL and Python workflows for clean, analysis-ready datasets.

At the Institute for Energy and Nuclear Research (IPEN), I designed statistical models to analyze TDPAC data and identify patterns in magnetic nanoparticle behavior. My work supported collaboration between theoretical physics and experimental research.

I’m now intensifying my programming and software engineering skills through project-based training at 42 Zurich. My background includes a Ph.D. in Applied Nuclear Technology and experience in Python, C, SQL, and machine learning.

Experience

Work history, roles, and key accomplishments

Classroom Assistant

Langenthal Elementary School

Sep 2025 - Mar 2026 (6 months)

Adapted quickly to the Swiss work environment, demonstrating strong communication, patience, and cross-cultural integration skills.

Communication Skills Cultural Integration Patience

Research Data Scientist

Freiburg Materials Research Center (FMF), Albert-Ludwigs-Uni

Apr 2024 - Sep 2025 (1 year 5 months)

Developed automated Python/Pandas pipelines to clean, transform, and analyze complex spectroscopic and electrical datasets, reducing data processing time by 40%. Implemented numerical simulations and statistical analysis to model optical properties of perovskite semiconductors, increasing characterization accuracy by 30%.

Python Pandas Scipy Numerical Simulation Statistical Analysis HPC C Object Oriented Programming

Private Tutor

Online, Brazil

Mar 2022 - Jun 2023 (1 year 3 months)

Translated complex mathematical and physical concepts into accessible lessons for high school students, improving average student test scores by 50%.

Teaching Mathematics Physics Communication Skills

Data & Research Scientist

Institute for Energy and Nuclear Research (IPEN)

Oct 2017 - Sep 2019 (1 year 11 months)

Designed statistical models to analyze time-differential perturbed angular correlation (TDPAC) data, identifying hidden patterns in magnetic nanoparticle behavior and enhancing data correlation capabilities by 35%. Led interdisciplinary data collaboration, bridging theoretical physics and experimental data, resulting in a 20% faster iteration cycle for material synthesis experiments.

Statistical Modeling Data Analysis TDPAC Interdisciplinary Collaboration Correlation

Data & Research Scientist

European Organization for Nuclear Research (CERN)

Aug 2017 - Sep 2019 (2 years 1 month)

Applied machine learning techniques and multivariate statistical analysis to correlate isotopic implantation data with semiconductor cryogenic properties, improving predictive model accuracy by 30%. Processed complex experimental data from the ISOLDE ion separator, creating SQL and Python-based data workflows for cross-border research teams.

Machine Learning scikit learn Multivariate Statistical Methods SQL Python Data Workflows Data Processing

University Lecturer

United Metropolitan Colleges (FMU)

Apr 2013 - May 2016 (3 years 1 month)

Taught Integral/Differential Calculus, Electromagnetism, and Materials Science to engineering students. Developed data-driven grading and performance tracking systems for over 100 students.

Teaching Calculus Electromagnetics Materials Science Data Driven Grading Performance Monitoring

Education

Degrees, certifications, and relevant coursework

42 Zurich

Intensive Training in Computer Programming & Algorithms (Piscine), Computer Programming & Algorithms

2026 -

Activities and societies: Developing robust, low-level software solutions and adapting to rapid technological problem-solving under strict deadlines.

Intensive, peer-to-peer project-based learning focusing on C programming, memory management, debugging, Linux environments, networking, and algorithmic complexity.

University of São Paulo

Ph.D. in Sciences, Applied Nuclear Technology

Activities and societies: Designed complex statistical methodologies to analyze radiation detection data, optimizing signal-to-noise ratios through advanced computational modeling.

Ph.D. in Sciences – Applied Nuclear Technology. Thesis: Investigation of impurities and surface properties on TlBr crystals for radiation detectors.

University of São Paulo

M.Sc. in Sciences, Applied Nuclear Technology

Activities and societies: Implemented Design of Experiments (DoE) and multivariate data analysis to optimize physical parameters, reducing material defect rates by 95%.

M.Sc. in Sciences – Applied Nuclear Technology. Thesis: Optimization of methodology for the preparation of TlBr crystals.